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How much do lax server jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for lax server in the United States is $15.29, according to ZipRecruiter salary data. Most workers in this role earn between $10.34 and $17.31 per hour, depending on experience, location, and employer.

What is a lax server?

A Lax Server is responsible for providing food and beverage service to guests at LAX (Los Angeles International Airport) restaurants, lounges, or dining areas. The role typically includes taking orders, delivering meals, handling payments, and ensuring a positive dining experience for travelers. Strong customer service skills, attention to detail, and the ability to work in a fast-paced environment are essential. Some positions may require prior serving experience or knowledge of airport security regulations. Lax Servers often work flexible schedules, including nights, weekends, and holidays.

What are the key skills and qualifications needed to thrive in the lax server position, and why are they important?

To thrive as a Lax Server (Lacrosse Server), you need strong interpersonal skills, multitasking abilities, and experience in a fast-paced food service environment. Familiarity with point-of-sale (POS) systems and basic food safety certifications are commonly required. Exceptional teamwork, attention to detail, and a positive attitude help set standout Lax Servers apart. These skills are critical for providing efficient, courteous service and ensuring customer satisfaction in busy restaurant or sports bar settings.

What does a typical shift look like for a lax server, and how is the workload managed?

A typical shift for a Lax Server often includes greeting guests, taking orders efficiently, delivering food and beverages promptly, and ensuring tables are clean and well-stocked. Lax Servers often work as part of a collaborative team where tasks are divided to maintain smooth service during busy periods, such as game days or peak dining hours. Strong organizational skills and clear communication with kitchen staff and fellow servers are crucial for managing the workload. Most shifts require standing for extended periods and adapting quickly to changing guest needs, making time management and stamina important for success in this role.

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Infographic showing various Lax Server job openings in the United States as of August 2026, with employment types broken down into 47% Full Time, and 53% Part Time. Highlights an 100% In-person job distribution, with an average salary of $31,808 per year, or $15.3 per hour.

Software Engineer, Full Stack (Agentic AI)

Sift Stack, Inc.

San Francisco, CA • On-site

$150 - $200/hr

Other

Re-posted 13 days ago


Job description

About Sift

Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.

About the Role

Hardware programs generate far more telemetry than any team can review by hand. Sift Agents is our answer: AI agents that work alongside hardware engineers, investigating anomalies, reviewing test and flight data, and answering in minutes questions that used to take a day of scripting.

This role comes with real product ownership and autonomy. You will talk directly to customers to understand how they review their machines, decide what to build, and own it from first MVP through every iteration after it ships. The surface area is wide: one day you might be polishing the frontend micro-interactions that make the chat experience feel great, the next you might be writing the Kubernetes scaling logic that orchestrates agent workloads. We’re heavy users of frontier agentic products ourselves and have strong opinions about what makes them great. Sift Agents is where we put those opinions to work.

This is a product engineering role, not a research role. Most of the work is the hard part of making agents dependable: tool design, context management, code execution environments, evaluation, and observability.

In This Role, You'll:
  • Talk directly to customers and partner with product to turn real review workflows into agent capabilities: generating dashboards, writing analysis scripts, and surfacing insights buried in their telemetry

  • Design, ship, and operate agentic systems that reason over large-scale time-series data and hardware domain context

  • Build everything around the model that makes agents dependable: tool interfaces, sandboxed execution for agent-generated code, context and memory management, custom compaction algorithms, opinionated skills, and guardrails

  • Develop and maintain Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly

  • Work across the whole stack

    • Build the frontend surfaces where Sift Agents live, and make them feel great

    • Design and implement the APIs that power our agentic capabilities

    • Run agents reliably at scale, both in the cloud and on-prem

  • Build evaluation suites that measure whether agents actually help engineers, and instrument quality, latency, cost, and failure modes in production

  • Integrate and assess frontier models across providers

The Skillset You'll Bring:
  • Have 3+ years of professional software engineering experience

  • Get excited about owning a product area: talking to customers, deciding what to build, and shipping it

  • Have built frontend web applications with technologies like React, NextJS, or similar

  • Have built APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar

  • Are curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good

Bonus Points:
  • Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity

  • Shipped LLM-powered features

  • Built agentic systems: multi-step tool use, planning loops, context management, and evals

  • Designed tool ecosystems for agents, including MCP

  • Worked with sandboxed or isolated execution of generated code

  • Operated services in production (Kubernetes, observability, incident response)

  • A personal ecosystem of AI dev tooling: custom agents, skills, scripts, or workflows built to ship faster

  • A background in time-series data, scientific computing, or hardware test and telemetry

  • Built internal agentic tooling that accelerates an engineering org

Engineering At SIFT:

You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:

  • Web frontend & backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript

  • Data: Arrow, DataFusion, Flink, Parquet, and Rust

  • Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt

Location:

Sift’s headquarters is in Marina Del Rey, CA (Next to LAX). We collaborate in person twice a week—on Mondays and Thursdays—and come together for a full week every two months. We are open to relocating candidates to LA or working from our San Francisco office for the right candidate.

Salary range: $150,000 - $200,000 per year. Plus equity and benefits.

Eligibility:

U.S. Person Required: Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.

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